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» On a stochastic sequencing and scheduling problem
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COR
2007
106views more  COR 2007»
13 years 4 months ago
On a stochastic sequencing and scheduling problem
We present a framework for solving multistage pure 0–1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the...
Antonio Alonso-Ayuso, Laureano F. Escudero, M. Ter...
WSC
2008
13 years 7 months ago
Maximizing the utilization of operating rooms with stochastic times using simulation
This paper addresses a surgery rooms scheduling problem. The problem is modeled as a parallel machine scheduling problem with sequence dependent setup times and an objective of mi...
Jean-Paul M. Arnaout, Sevag Kulbashian
AUTOMATICA
2007
82views more  AUTOMATICA 2007»
13 years 5 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
CP
2008
Springer
13 years 6 months ago
Engineering Stochastic Local Search for the Low Autocorrelation Binary Sequence Problem
Abstract. This paper engineers a new state-of-the-art Stochastic Local Search (SLS) for the Low Autocorrelation Binary Sequence (LABS) problem. The new SLS solver is obtained with ...
Steven Halim, Roland H. C. Yap, Felix Halim
AIPS
2006
13 years 6 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens